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aka_random_generator.hh
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			/**
			* @file aka_random_generator.hh
			*
			* @author Nicolas Richart <nicolas.richart@epfl.ch>
			*
			* @date creation: Wed Jan 16 2013
			* @date last modification: Wed Jun 25 2014
			*
			* @brief generic random generator
			*
			* @section LICENSE
			*
			* Copyright (©) 2014 EPFL (Ecole Polytechnique Fédérale de Lausanne)
			* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
			*
			* Akantu is free software: you can redistribute it and/or modify it under the
			* terms of the GNU Lesser General Public License as published by the Free
			* Software Foundation, either version 3 of the License, or (at your option) any
			* later version.
			*
			* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
			* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
			* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
			* details.
			*
			* You should have received a copy of the GNU Lesser General Public License
			* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
			*
			*/

			/* -------------------------------------------------------------------------- */
			#include "aka_common.hh"
			#include "aka_array.hh"

			#if defined(AKANTU_USE_CXX11)
			# define __CONST_EXPR constexpr
			#else
			# define __CONST_EXPR
			#endif

			#ifndef __AKANTU_AKA_RANDOM_GENERATOR_HH__
			#define __AKANTU_AKA_RANDOM_GENERATOR_HH__

			__BEGIN_AKANTU__

			/* -------------------------------------------------------------------------- */
			/* List of available distributions */
			/* -------------------------------------------------------------------------- */
			#define AKANTU_RANDOM_DISTRIBUTION_TYPES \
			((uniform, UniformDistribution)) \
			((weibull, WeibullDistribution))

			#define AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(elem) BOOST_PP_CAT(_rdt_, elem)
			#define AKANTU_RANDOM_DISTRIBUTION_PREFIX(s, data, elem) \
			AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem))


			enum RandomDistributionType {
			BOOST_PP_SEQ_ENUM(BOOST_PP_SEQ_TRANSFORM(AKANTU_RANDOM_DISTRIBUTION_PREFIX,
			_,
			AKANTU_RANDOM_DISTRIBUTION_TYPES)),
			_rdt_not_defined
			};

			/* -------------------------------------------------------------------------- */
			/* Distribution */
			/* -------------------------------------------------------------------------- */
			/// Empty base to be able to store a distribution
			template<typename T>
			class RandomDistributionBase {
			public:
			virtual ~RandomDistributionBase() {}
			virtual void printself(std::ostream & stream, int indent = 0) const = 0;
			};


			/* -------------------------------------------------------------------------- */
			/* Uniform distribution */
			/* -------------------------------------------------------------------------- */
			template<typename T>
			class UniformDistribution : public RandomDistributionBase<T> {
			public:
			UniformDistribution(T min = T(0.), T max = T(1.)) : min(min), max(max) { };

			/* ------------------------------------------------------------------------ */
			template<template<class> class RandomGenerator>
			T operator() (RandomGenerator<T> & generator) {
			T x = generator() / (RandomGenerator<T>::max() - RandomGenerator<T>::min());
			return (x * (max - min) + min);
			}


			virtual void setParams(std::string value) {
			std::stringstream sstr(value);
			sstr >> min;
			sstr >> max;
			}

			/// function to print the contain of the class
			virtual void printself(std::ostream & stream, int indent = 0) const {
			stream << "Uniform [ min=" << min << ", max=" << max << " ]";
			};

			/* ------------------------------------------------------------------------ */
			private:
			T min;
			T max;
			};

			/* -------------------------------------------------------------------------- */
			/* Weibull distribution */
			/* -------------------------------------------------------------------------- */
			template<typename T>
			class WeibullDistribution : public RandomDistributionBase<T> {
			public:
			WeibullDistribution(T scale, T shape) : m(shape), lambda(scale) { };

			/* ------------------------------------------------------------------------ */
			template<template<class> class RandomGenerator>
			T operator()(RandomGenerator<T> & generator) {
			T x = generator() / (RandomGenerator<T>::max() - RandomGenerator<T>::min());
			T e = T(1) / m;
			return lambda * std::pow(- std::log(1. - x), e);
			}

			virtual void setParams(std::string value) {
			std::stringstream sstr(value);
			sstr >> m;
			sstr >> lambda;
			}

			/// function to print the contain of the class
			virtual void printself(std::ostream & stream, int indent = 0) const {
			stream << "Weibull [ shape=" << m << ", scale=" << lambda << "]";
			}

			/* ------------------------------------------------------------------------ */
			private:
			/// shape parameter or Weibull modulus
			T m;
			/// scale parameter
			T lambda;
			};

			/* -------------------------------------------------------------------------- */

			/* -------------------------------------------------------------------------- */
			/* Generator */
			/* -------------------------------------------------------------------------- */

			template<typename T>
			class Rand48Generator {
			/* ------------------------------------------------------------------------ */
			public:
			inline T operator()() { AKANTU_DEBUG_TO_IMPLEMENT(); }

			/// function to print the contain of the class
			virtual void printself(std::ostream & stream, int indent = 0) const {
			stream << "Rand48Generator [seed=" << seed << "]";
			}

			/* ------------------------------------------------------------------------ */
			public:
			static void seed(long int s) { _seed = s; srand48(_seed); }
			static long int seed() { return _seed; }

			static __CONST_EXPR T min() { return 0.; }
			static __CONST_EXPR T max() { return 1.; }

			/* ------------------------------------------------------------------------ */
			private:
			static long int _seed;
			};

			template<>
			inline double Rand48Generator<double>::operator()() {
			return drand48();
			}

			/* -------------------------------------------------------------------------- */
			template<typename T>
			class RandGenerator {
			/* ------------------------------------------------------------------------ */
			public:
			inline T operator()() { return rand(); }

			/// function to print the contain of the class
			virtual void printself(std::ostream & stream, int indent = 0) const {
			stream << "RandGenerator [seed=" << _seed << "]";
			}

			/* ------------------------------------------------------------------------ */
			public:
			static void seed(long int s) { _seed = s; srand(_seed); }
			static long int seed() { return _seed; }

			static __CONST_EXPR T min() { return 0.; }
			static __CONST_EXPR T max() { return RAND_MAX; }

			/* ------------------------------------------------------------------------ */
			private:
			static long int _seed;
			};

			/* -------------------------------------------------------------------------- */
			/* -------------------------------------------------------------------------- */
			/* -------------------------------------------------------------------------- */
			#undef AKANTU_RANDOM_DISTRIBUTION_PREFIX

			#define AKANTU_RANDOM_DISTRIBUTION_TYPE_PRINT_CASE(r, data, elem) \
			case AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem)): { \
			stream << BOOST_PP_STRINGIZE(AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem))); \
			break; \
			}

			inline std::ostream & operator <<(std::ostream & stream, RandomDistributionType type) {
			switch(type) {
			BOOST_PP_SEQ_FOR_EACH(AKANTU_RANDOM_DISTRIBUTION_TYPE_PRINT_CASE, _, AKANTU_RANDOM_DISTRIBUTION_TYPES)
			default: stream << UInt(type) << " not a RandomDistributionType"; break;
			}
			return stream;
			}
			#undef AKANTU_RANDOM_DISTRIBUTION_TYPE_PRINT_CASE

			/* -------------------------------------------------------------------------- */
			/* Some Helper */
			/* -------------------------------------------------------------------------- */
			template<typename T, template<typename> class Distribution>
			class RandomDistributionTypeHelper {
			enum { value = _rdt_not_defined };
			};

			/* -------------------------------------------------------------------------- */
			#define AKANTU_RANDOM_DISTRIBUTION_TYPE_GET_TYPE(r, data, elem) \
			template<typename T> \
			struct RandomDistributionTypeHelper<T, BOOST_PP_TUPLE_ELEM(2, 1, elem)> { \
			enum { \
			value = AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem)) \
			}; \
			};

			BOOST_PP_SEQ_FOR_EACH(AKANTU_RANDOM_DISTRIBUTION_TYPE_GET_TYPE, _, AKANTU_RANDOM_DISTRIBUTION_TYPES)

			#undef AKANTU_RANDOM_DISTRIBUTION_TYPE_GET_TYPE

			/* -------------------------------------------------------------------------- */
			/* RandomParameter */
			/* -------------------------------------------------------------------------- */
			template<typename T>
			class RandomParameter {
			public:
			RandomParameter(T base_value) :
			base_value(base_value), type(_rdt_not_defined), distribution(NULL) { }

			template<template <typename> class Distribution>
			RandomParameter(T base_value, const Distribution<T> & distribution) :
			base_value(base_value),
			type((RandomDistributionType)RandomDistributionTypeHelper<T, Distribution>::value),
			distribution(new Distribution<T>(distribution)) { }

			#define AKANTU_RANDOM_DISTRIBUTION_TYPE_NEW(r, data, elem) \
			else if(type == AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem))){ \
			typedef BOOST_PP_TUPLE_ELEM(2, 1, elem)<T> Dist; \
			distribution = new Dist(static_cast<Dist >(other.distribution)); \
			}

			RandomParameter(const RandomParameter & other) :
			base_value(other.base_value),
			type(other.type) {
			if(type == _rdt_not_defined) distribution = NULL;
			BOOST_PP_SEQ_FOR_EACH(AKANTU_RANDOM_DISTRIBUTION_TYPE_NEW, _, AKANTU_RANDOM_DISTRIBUTION_TYPES)
			}

			inline void setBaseValue(const T & value) { this->base_value = value; }
			inline T getBaseValue() const { return this->base_value; }

			RandomParameter & operator=(const RandomParameter & other) {
			if(this != &other) {
			base_value = other.base_value;
			type = other.type;
			delete distribution;
			if(type == _rdt_not_defined) distribution = NULL;
			BOOST_PP_SEQ_FOR_EACH(AKANTU_RANDOM_DISTRIBUTION_TYPE_NEW, _, AKANTU_RANDOM_DISTRIBUTION_TYPES)
			}
			return *this;
			}
			#undef AKANTU_RANDOM_DISTRIBUTION_TYPE_NEW

			/* ------------------------------------------------------------------------ */
			#define AKANTU_RANDOM_DISTRIBUTION_TYPE_SET(r, data, elem) \
			else if(type == AKANTU_RANDOM_DISTRIBUTION_TYPES_PREFIX(BOOST_PP_TUPLE_ELEM(2, 0, elem))){ \
			this->set<BOOST_PP_TUPLE_ELEM(2, 1, elem), Generator>(it, end); \
			}

			template<template<typename> class Generator, class iterator>
			void setValues(iterator it, iterator end) {
			if(type == _rdt_not_defined) {
			for (; it != end; ++it) *it = this->base_value;
			}
			BOOST_PP_SEQ_FOR_EACH(AKANTU_RANDOM_DISTRIBUTION_TYPE_SET, _, AKANTU_RANDOM_DISTRIBUTION_TYPES)
			}

			#undef AKANTU_RANDOM_DISTRIBUTION_TYPE_SET

			virtual void printself(std::ostream & stream, int indent = 0) const {
			stream << base_value;
			if(type != _rdt_not_defined) stream << " " << *distribution;
			}

			private:

			template<template<typename> class Distribution, template<typename> class Generator,
			class iterator>
			void set(iterator it, iterator end) {
			typedef Distribution<T> Dist;
			Dist & dist = (static_cast<Dist >(this->distribution));
			Generator<T> gen;
			for (; it != end; ++it) *it = this->base_value + dist(gen);
			}

			private:
			/// Value with no random variations
			T base_value;

			/// Random distribution type
			RandomDistributionType type;

			/// Random distribution to use
			RandomDistributionBase<T> * distribution;
			};


			/* -------------------------------------------------------------------------- */
			template<typename T>
			inline std::ostream & operator <<(std::ostream & stream, RandomDistributionBase<T> & _this) {
			_this.printself(stream);
			return stream;
			}

			/* -------------------------------------------------------------------------- */
			template<typename T>
			inline std::ostream & operator <<(std::ostream & stream, RandomParameter<T> & _this) {
			_this.printself(stream);
			return stream;
			}



			__END_AKANTU__

			#endif /* __AKANTU_AKA_RANDOM_GENERATOR_HH__ */

rAKA/src/common/aka_random_generator.hhf684c1ff93ecfeatures/22-problem-in…

aka_random_generator.hhView Options

rAKA/src/common/aka_random_generator.hh
f684c1ff93ecfeatures/22-problem-in…

aka_random_generator.hh
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